Normal Probability Plot

The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed.

The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality.

The normal probability plot is a special case of the Q–Q probability plot, for the case of a normal distribution.

Read more about Normal Probability Plot:  Definition, Other Distributions, Examples

Famous quotes containing the words normal, probability and/or plot:

    Love brings to light the lofty and hidden characteristics of the lover—what is rare and exceptional in him: to that extent it can easily be deceptive with respect to what is normal in him.
    Friedrich Nietzsche (1844–1900)

    Crushed to earth and rising again is an author’s gymnastic. Once he fails to struggle to his feet and grab his pen, he will contemplate a fact he should never permit himself to face: that in all probability books have been written, are being written, will be written, better than anything he has done, is doing, or will do.
    Fannie Hurst (1889–1968)

    There comes a time in every man’s education when he arrives at the conviction that envy is ignorance; that imitation is suicide; that he must take himself for better for worse as his portion; that though the wide universe is full of good, no kernel of nourishing corn can come to him but through his toil bestowed on that plot of ground which is given him to till.
    Ralph Waldo Emerson (1803–1882)